​ including Quotes to Live By Photo by Daniel Monteiro on Unsplash 1. Dichotomy of Control The dichotomy of control is about ‘controlling the controllables’. Control what you can and leave the rest. Never give your ‘freedom to choose’ to anyone else. “We cannot control the external events around… Read More »5 Stoic Ideas for a Good Life Afroz Chakure Becoming Human: Artificial Intelligence Magazine – Medium

​Generative models have redefined what’s possible in computer vision, enabling innovations once only imaginable in science fiction. One breakthrough tool is the Segment Anything Model (SAM), which has dramatically simplified isolating subjects in images. In this blog, we’ll explore an application leveraging SAM and text-to-image… Read More »Transforming Imagery with AI: Exploring Generative Models and the Segment Anything Model (SAM) Anurag Lahon Becoming Human: Artificial Intelligence Magazine – Medium

​[[{“value”:” The discipline of computational mathematics continuously seeks methods to bolster the reasoning capabilities of large language models (LLMs). These models play a pivotal role in diverse applications ranging from data analysis to artificial intelligence, where precision in mathematical problem-solving is crucial. Enhancing these models’… Read More »This AI Paper by Alibaba Group Introduces AlphaMath: Automating Mathematical Reasoning with Monte Carlo Tree Search Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Integrating visual and textual data in artificial intelligence forms a crucial nexus for developing systems like human perception. As AI continues to evolve, seamlessly combining these data types is advantageous and essential for creating more intuitive and effective technologies. The primary challenge confronting this… Read More »Meet HPT 1.5 Air: A New Open-Sourced 8B Multimodal LLM with Llama 3 Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Despite their significant contributions to deep learning, LSTMs have limitations, notably in revising stored information. For instance, when faced with the Nearest Neighbor Search problem, where a sequence needs to find the most similar vector, LSTMs struggle to update stored values when encountering a… Read More »xLSTM: Enhancing Long Short-Term Memory LSTM Capabilities for Advanced Language Modeling and Beyond Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Cross-encoder (CE) models evaluate similarity by simultaneously encoding a query-item pair, outperforming the dot-product with embedding-based models at estimating query-item relevance. Current methods perform k-NN search with CE by approximating the CE similarity with a vector embedding space fit with dual-encoders (DE) or CUR… Read More »Sparse-Matrix Factorization-based Method: Efficient Computation of Latent Query and Item Representations to Approximate CE Scores Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Transformers have taken the machine learning world by storm with their powerful self-attention mechanism, achieving state-of-the-art results in areas like natural language processing and computer vision. However, when it came to graph data, which is ubiquitous in domains such as social networks, biology, and… Read More »AnchorGT: A Novel Attention Architecture for Graph Transformers as a Flexible Building Block to Improve the Scalability of a Wide Range of Graph Transformer Models Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” IBM has made a great advancement in the field of software development by releasing a set of open-source Granite code models designed to make coding easier for people everywhere. This action stems from the realization that, although software plays a critical role in contemporary… Read More »IBM AI Team Releases an Open-Source Family of Granite Code Models for Making Coding Easier for Software Developers Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In Natural Language Processing (NLP) tasks, data cleaning is an essential step before tokenization, particularly when working with text data that contains unusual word separations such as underscores, slashes, or other symbols in place of spaces. Since common tokenizers frequently rely on spaces to… Read More »Is There a Library for Cleaning Data before Tokenization? Meet the Unstructured Library for Seamless Pre-Tokenization Cleaning Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In cybersecurity, while AI technologies have significantly bolstered our defense mechanisms against cyber threats, they have also given rise to a new era of sophisticated attacks. Let’s explore the darker side of AI advancements in the cybersecurity domain, focusing on its role in enhancing… Read More »The Rise of Adversarial AI in Cyberattacks Nikhil Artificial Intelligence Category – MarkTechPost